SOTAVerified

Question Answering

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

Papers

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Showing 4451–4475 of 10817 papers

TitleStatusHype
Language Models Meet Anomaly Detection for Better Interpretability and GeneralizabilityCode0
RiskLabs: Predicting Financial Risk Using Large Language Model based on Multimodal and Multi-Sources Data—0
On Unified Prompt Tuning for Request Quality Assurance in Public Code Review—0
Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models—0
Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMsCode0
Audio Dialogues: Dialogues dataset for audio and music understanding—0
MM-PhyQA: Multimodal Physics Question-Answering With Multi-Image CoT Prompting—0
Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency CheckingCode0
Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models—0
Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study—0
LLMs' Reading Comprehension Is Affected by Parametric Knowledge and Struggles with Hypothetical Statements—0
Identifying Shopping Intent in Product QA for Proactive Recommendations—0
SurveyAgent: A Conversational System for Personalized and Efficient Research Survey—0
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering—0
Enhancing Software-Related Information Extraction via Single-Choice Question Answering with Large Language Models—0
PerkwE_COQA: Enhanced Persian Conversational Question Answering by combining contextual keyword extraction with Large Language Models—0
Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods—0
The Hallucinations Leaderboard -- An Open Effort to Measure Hallucinations in Large Language Models—0
HAMMR: HierArchical MultiModal React agents for generic VQA—0
MedExpQA: Multilingual Benchmarking of Large Language Models for Medical Question Answering—0
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding—0
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels—0
LLM-aided explanations of EDA synthesis errors—0
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector—0
X-VARS: Introducing Explainability in Football Refereeing with Multi-Modal Large Language Model—0
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94—Unverified
2FPNet (ensemble)EM90.87—Unverified
3IE-NetV2 (ensemble)EM90.86—Unverified
4SA-Net on Albert (ensemble)EM90.72—Unverified
5SA-Net-V2 (ensemble)EM90.68—Unverified
6FPNet (ensemble)EM90.6—Unverified
7Retro-Reader (ensemble)EM90.58—Unverified
8EntitySpanFocusV2 (ensemble)EM90.52—Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49—Unverified
10EntitySpanFocus+AT (ensemble)EM90.45—Unverified